基于音频与视频的辅助生活解决方案研究现状
计算机与社会
2022-07-06 v2 人工智能
人机交互
声音
音频与语音处理
摘要
本报告阐述了基于音频和视频数据的最为成功的辅助生活（AAL）应用与功能的研究现状，即（i）生活记录与自我监测，（ii）生命体征远程监测，（iii）情绪状态识别，（iv）食物摄入监测、活动与行为识别，（v）活动与个人辅助，（vi）手势识别，（vii）跌倒检测与预防，（viii）行动能力评估与衰弱识别，以及（ix）认知与运动康复。针对这些应用场景，报告从科学进展、可用产品与研究项目方面说明了当前现状，并强调了存在的开放挑战。
引用
@article{arxiv.2207.01487,
title = {State of the Art of Audio- and Video-Based Solutions for AAL},
author = {Slavisa Aleksic and Michael Atanasov and Jean Calleja Agius and Kenneth Camilleri and Anto Cartolovni and Pau Climent-Peerez and Sara Colantonio and Stefania Cristina and Vladimir Despotovic and Hazim Kemal Ekenel and Ekrem Erakin and Francisco Florez-Revuelta and Danila Germanese and Nicole Grech and Steinunn Gróa Sigurðardóttir and Murat Emirzeoglu and Ivo Iliev and Mladjan Jovanovic and Martin Kampel and William Kearns and Andrzej Klimczuk and Lambros Lambrinos and Jennifer Lumetzberger and Wiktor Mucha and Sophie Noiret and Zada Pajalic and Rodrigo Rodriguez Peerez and Galidiya Petrova and Sintija Petrovica and Peter Pocta and Angelica Poli and Mara Pudane and Susanna Spinsante and Albert Ali Salah and Maria Jose Santofimia and Anna Sigridur Islind and Lacramioara Stoicu-Tivadar and Hilda Tellioglu and Andrej Zgank},
journal= {arXiv preprint arXiv:2207.01487},
year = {2022}
}